https://github.com/ctmm-initiative/ctmmmoveapp_speeddistance

https://github.com/ctmm-initiative/ctmmmoveapp_speeddistance

Science Score: 13.0%

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Repository

Basic Info
  • Host: GitHub
  • Owner: ctmm-initiative
  • Language: R
  • Default Branch: main
  • Size: 6.68 MB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 3
  • Releases: 0
Created almost 3 years ago · Last pushed almost 3 years ago
Metadata Files
Readme

README.md

Estimate Average Speed and Distance Moved (ctmm)

MoveApps

Github repository: https://github.com/ctmm-initiative/ctmmMoveApp_speeddistance

Description

This app estimates the average speed an animal moved based on a continuous-time movement model that had been fitted to the data using the App "Fit a Continuous-Time Movement Model (ctmm)" before. By multiplication of the estimated speed and the time the animal was tracked a distance that the animal moved is estimated.

Documentation

Given a ctmm movement model and telemetry data, multiple realizations of each individual's trajectory are simulated to estimate the time-averaged speed. These speeds are then proportional to distance traveled. Both tortuosity (non straight-line motion between the data) and telemetry error are accounted for.

This app can be used in a ctmm-worklfow, once a continuous time model was estimated ("Fit a Continuous-Time Movement Model (ctmm)" App). For more details about the method, please refer to the accompanying publication and the reference of the speed function in the ctmm package.

Input data

The app requires a ctmm model with data as input.

Output data

The app returns the input ctmm model with data as output.

Artefacts

speed.csv: The estimated average speed for each animal. The table consists of five columns, which are: est the estimated speed with a lower (low) and upper (high) confidence interval, the units (unit) and id of the animal.

distance.csv: The estimated total distance traveled for each animal. The table consists of five columns, which are: est the estimated distance with a lower (low) and upper (high) confidence interval, the units (unit) and id of the animal.

Settings

none

Most common errors

Please make an issue here if you repeatedly encounter a specific error.

Null or error handling

If the few data points are available, speed can not be estimated and NA is returned.

Owner

  • Name: Continuous-Time Movement Modeling (CTMM) Initiative
  • Login: ctmm-initiative
  • Kind: organization
  • Email: flemingc@si.edu

ctmm is an R package for analyzing animal tracking data as a continuous-time stochastic process

GitHub Events

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  • Issues event: 1
Last Year
  • Issues event: 1

Dependencies

Dockerfile docker
  • rocker/geospatial 4.2.1 build